TOPICS
Search

Trilateration


Trilateration is the process of locating an unknown point by using its distances from reference points of known position. If the unknown point is x, the reference points are p_i, and the measured distances are d_i, then x satisfies

 ||x-p_i||^2=d_i^2,

for i=1, ..., m. Geometrically, each equation constrains x to a circle in the plane or a sphere in three-dimensional space, and the desired position lies in their common intersection.

In the plane, distances to three reference points that are not collinear generically determine a unique point. In space, four reference points that are not coplanar are generically required. With noisy measurements, the equations generally have no exact common solution and are instead fit approximately, for example by least squares fitting (Cotera et al. 2016). Trilateration uses measured distances, whereas triangulation in surveying uses measured angles.


See also

Angle, Circle, Collinear, Coordinate System, Coplanar, Distance, Intersection, Least Squares Fitting, Point, Sphere, Vector

Explore with Wolfram|Alpha

References

Cotera, P.; Velazquez, M.; Cruz, D.; Medina, L.; and Bandala, M. "Indoor Robot Positioning Using an Enhanced Trilateration Algorithm." Int. J. Adv. Robotic Syst. 13, 2016. https://doi.org/10.5772/63246.

Cite this as:

Weisstein, Eric W. "Trilateration." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/Trilateration.html

Subject classifications